Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost

Due to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cog...

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Main Authors: Yongqun Chen, Huaibei Zhou, Ruoshan Kong, Li Zhu, Huaqing Mao
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Future Internet
Subjects:
Online Access:http://www.mdpi.com/1999-5903/9/2/10
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spelling doaj-dc56e6253840412eacb939c2c9932dae2020-11-25T00:59:09ZengMDPI AGFuture Internet1999-59032017-03-01921010.3390/fi9020010fi9020010Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff CostYongqun Chen0Huaibei Zhou1Ruoshan Kong2Li Zhu3Huaqing Mao4School of Physics and Technology, Wuhan University, Wuhan 430072, ChinaInternational School of Software, Wuhan University, Wuhan 430072, ChinaInternational School of Software, Wuhan University, Wuhan 430072, ChinaOujiang College, Wenzhou University, Chashan University Town, Wenzhou 325035, ChinaOujiang College, Wenzhou University, Chashan University Town, Wenzhou 325035, ChinaDue to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cognitive radio networks, we investigate blind spectrum selection problem of secondary users whose sensing ability of cognitive radio is limited and the channel statistics are a priori unknown, taking the handoff delay as a fixed handoff cost into consideration. In this scenario, secondary users have to make the choice of either staying foregoing spectrum with low availability or handing off to another spectrum with higher availability. We model the problem and investigate the performance of three representative policies, i.e., ρPRE, SL(K), kth-UCB1. The simulation results show that, despite the inclusion of the fixed handoff cost, these policies achieve the same asymptotic performance as that without handoff cost. Moreover, through comparison of these policies, we found the kth-UCB1 policy has better overall performance.http://www.mdpi.com/1999-5903/9/2/10cognitive radio networksopportunistic spectrum accessmulti-armed bandithandoff costdistributed algorithms
collection DOAJ
language English
format Article
sources DOAJ
author Yongqun Chen
Huaibei Zhou
Ruoshan Kong
Li Zhu
Huaqing Mao
spellingShingle Yongqun Chen
Huaibei Zhou
Ruoshan Kong
Li Zhu
Huaqing Mao
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
Future Internet
cognitive radio networks
opportunistic spectrum access
multi-armed bandit
handoff cost
distributed algorithms
author_facet Yongqun Chen
Huaibei Zhou
Ruoshan Kong
Li Zhu
Huaqing Mao
author_sort Yongqun Chen
title Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
title_short Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
title_full Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
title_fullStr Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
title_full_unstemmed Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
title_sort decentralized blind spectrum selection in cognitive radio networks considering handoff cost
publisher MDPI AG
series Future Internet
issn 1999-5903
publishDate 2017-03-01
description Due to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cognitive radio networks, we investigate blind spectrum selection problem of secondary users whose sensing ability of cognitive radio is limited and the channel statistics are a priori unknown, taking the handoff delay as a fixed handoff cost into consideration. In this scenario, secondary users have to make the choice of either staying foregoing spectrum with low availability or handing off to another spectrum with higher availability. We model the problem and investigate the performance of three representative policies, i.e., ρPRE, SL(K), kth-UCB1. The simulation results show that, despite the inclusion of the fixed handoff cost, these policies achieve the same asymptotic performance as that without handoff cost. Moreover, through comparison of these policies, we found the kth-UCB1 policy has better overall performance.
topic cognitive radio networks
opportunistic spectrum access
multi-armed bandit
handoff cost
distributed algorithms
url http://www.mdpi.com/1999-5903/9/2/10
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